2020
DOI: 10.3390/s20216260
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Review of Laser Raman Spectroscopy for Surgical Breast Cancer Detection: Stochastic Backpropagation Neural Networks

Abstract: Laser Raman spectroscopy (LRS) is a highly specific biomolecular technique which has been shown to have the ability to distinguish malignant and normal breast tissue. This paper discusses significant advancements in the use of LRS in surgical breast cancer diagnosis, with an emphasis on statistical and machine learning strategies employed for precise, transparent and real-time analysis of Raman spectra. When combined with a variety of “machine learning” techniques LRS has been increasingly employed in oncogeni… Show more

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Cited by 13 publications
(9 citation statements)
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“…Commonly used methods are asymmetric weighted penalized least squares (arPLS) algorithm [103], adaptive iterative weighted penalized least squares (airPLS) algorithm and polynomial fitting [104]. Normalization is the last step of preprocessing [105]. It is used to deal with the situation of large signal strength caused by uneven sample distribution, laser power difference, experimental environment interference and other factors [104].…”
Section: Raman Spectroscopy Preprocessingmentioning
confidence: 99%
“…Commonly used methods are asymmetric weighted penalized least squares (arPLS) algorithm [103], adaptive iterative weighted penalized least squares (airPLS) algorithm and polynomial fitting [104]. Normalization is the last step of preprocessing [105]. It is used to deal with the situation of large signal strength caused by uneven sample distribution, laser power difference, experimental environment interference and other factors [104].…”
Section: Raman Spectroscopy Preprocessingmentioning
confidence: 99%
“…As both antimicrobial groups, namely lincosamides and macrolides, have been used to treat S. aureus infections in Malaysia since 2015 [22], identifying the resistance pattern for these antibiotics is deemed necessary. A study conducted among health care workers of a tertiary hospital in Terengganu, Malaysia, highlighted the increase in the prevalence of inducible clindamycin resistance and tigecycline resistance among MRSA and MSSA isolates from nasal samples of health care workers [105].…”
Section: Antimicrobial Resistance Patternsmentioning
confidence: 99%
“…However, sensitivity and specificity tend to decrease in studies with larger sample sizes. Contributing factors include differences in menstrual status affecting the optical characteristics of breast tissue, the ratio of lipid tissue to fibrous tissue found in normal, healthy breasts, the density of tumor cells in the healthy matrix, and the presence of surgical ink after lumpectomy procedures [ 72 ]. Optical coherence tomography uses low-coherence light to create high-resolution, cross-sectional images of tissues.…”
Section: Introductionmentioning
confidence: 99%